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innovation in this domain. It should also outline your interest in being a PhD candidate at the Department of Data Science & AI and why this particular project interests you. Stage 2: Candidates who pass this
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language processing, large language models, machine learning, network analysis, social media analytics, and large-scale analysis of online discourse and communities. This PhD scholarship will be based within
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PhD Scholarship This project aims to develop a novel computational framework for design of stretchable mechanical structures with tailored, exceptional performance. Project outline: This project
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leading groups in the economic analysis of health and health care, with the largest Health Economics PhD program in Australia and the highest concentration of health economists in the Asia-Pacific region
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. Analysis of this data will employ both qualitative and quantitative methods. Work on WP-2 will suit someone with an interest and aptitude for coding administrative data using large language models. It will
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relationships and tailor communications for a wide range of stakeholders, including academics, applicants and enrolled PhD candidates. Strong MS Excel and data analysis skills are essential, including the ability
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of discourse, identity and meaning-making within online environments. Approaches such as semi-structured interviews, digital ethnography or social media data collection (including platform-based content analysis
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, scientific computing, automated data analysis, or computational modelling. Candidate Requirements Applicants will be considered provided they fulfil the criteria for PhD admission at Monash University. Details
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. Required PhD student academic qualifications: Honours/Msc degree in microbiology/bioinformatics, with specific emphasis on functional microbial multi-omic data analysis. Knowledge of a programming language
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-products, multi-omics approaches, and/or opportunistic pathogens and AMR indicators. PhD-3 and 4 Strong quantitative/statistical data skills, understanding of water quality processes and experience/aptitude